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Langue: anglais
Edité par Springer Nature Singapore, 2025
ISBN 10 : 9819689341 ISBN 13 : 9789819689347
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims to clarify how to build the computational infrastructure for multi-access edge computing (MEC) from the perspectives of applications, system software, architecture, CAD, and devices. MEC enables the execution of processing tasks that are challenging for IoT devices without having to rely on the cloud, by equipping 5G/6G base stations with computational resources.Following the introduction, Chapter 2 describes the multi-FPGA system that was developed for this project with various techniques to build FPGA clusters. Chapter 3 discusses the middleware for MEC and applications such as social implementation in nursing care facilities. Chapter 4 focuses on the roles of MEC, such as anonymization, data collection, and selection, and describes the technologies for utilizing MEC in the construction of smart cities. Chapter 5 discusses the realization of Robot Audition, one of the most promising applications expected to run on MEC. It introduces an attempt to implement HARK, a widely used platform, on MEC. Chapter 6 presents a new FPGA device, SLMLET, which is more cost-effective and power-efficient than conventional FPGAs and features communication links for multi-node systems. It is an ambitious chip equipped with variable-structure IP, differing from traditional FPGAs.The readers will gain an understanding of MEC and related topics, as well as insight into its future potential. This knowledge is essential for engineers involved in cloud and edge computing, as well as those interested in FPGA and CAD technologies.
Langue: anglais
Edité par Springer-Nature New York Inc, 2025
ISBN 10 : 9819689341 ISBN 13 : 9789819689347
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Edité par Springer Nature Singapore Nov 2025, 2025
ISBN 10 : 9819689341 ISBN 13 : 9789819689347
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book aims to clarify how to build the computational infrastructure for multi-access edge computing (MEC) from the perspectives of applications, system software, architecture, CAD, and devices. MEC enables the execution of processing tasks that are challenging for IoT devices without having to rely on the cloud, by equipping 5G/6G base stations with computational resources.Following the introduction, Chapter 2 describes the multi-FPGA system that was developed for this project with various techniques to build FPGA clusters. Chapter 3 discusses the middleware for MEC and applications such as social implementation in nursing care facilities. Chapter 4 focuses on the roles of MEC, such as anonymization, data collection, and selection, and describes the technologies for utilizing MEC in the construction of smart cities. Chapter 5 discusses the realization of Robot Audition, one of the most promising applications expected to run on MEC. It introduces an attempt to implement HARK, a widely used platform, on MEC. Chapter 6 presents a new FPGA device, SLMLET, which is more cost-effective and power-efficient than conventional FPGAs and features communication links for multi-node systems. It is an ambitious chip equipped with variable-structure IP, differing from traditional FPGAs.The readers will gain an understanding of MEC and related topics, as well as insight into its future potential. This knowledge is essential for engineers involved in cloud and edge computing, as well as those interested in FPGA and CAD technologies. 153 pp. Englisch.
Langue: anglais
Edité par Springer Nature Switzerland AG, Cham, 2025
ISBN 10 : 9819689341 ISBN 13 : 9789819689347
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Ajouter au panierHardcover. Etat : new. Hardcover. This book aims to clarify how to build the computational infrastructure for multi-access edge computing (MEC) from the perspectives of applications, system software, architecture, CAD, and devices. MEC enables the execution of processing tasks that are challenging for IoT devices without having to rely on the cloud, by equipping 5G/6G base stations with computational resources. Following the introduction, Chapter 2 describes the multi-FPGA system that was developed for this project with various techniques to build FPGA clusters. Chapter 3 discusses the middleware for MEC and applications such as social implementation in nursing care facilities. Chapter 4 focuses on the roles of MEC, such as anonymization, data collection, and selection, and describes the technologies for utilizing MEC in the construction of smart cities. Chapter 5 discusses the realization of Robot Audition, one of the most promising applications expected to run on MEC. It introduces an attempt to implement HARK, a widely used platform, on MEC. Chapter 6 presents a new FPGA device, SLMLET, which is more cost-effective and power-efficient than conventional FPGAs and features communication links for multi-node systems. It is an ambitious chip equipped with variable-structure IP, differing from traditional FPGAs.The readers will gain an understanding of MEC and related topics, as well as insight into its future potential. This knowledge is essential for engineers involved in cloud and edge computing, as well as those interested in FPGA and CAD technologies. This book aims to clarify how to build the computational infrastructure for multi-access edge computing (MEC) from the perspectives of applications, system software, architecture, CAD, and devices. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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ISBN 10 : 9819689341 ISBN 13 : 9789819689347
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Ajouter au panierHardcover. Etat : new. Hardcover. This book aims to clarify how to build the computational infrastructure for multi-access edge computing (MEC) from the perspectives of applications, system software, architecture, CAD, and devices. MEC enables the execution of processing tasks that are challenging for IoT devices without having to rely on the cloud, by equipping 5G/6G base stations with computational resources. Following the introduction, Chapter 2 describes the multi-FPGA system that was developed for this project with various techniques to build FPGA clusters. Chapter 3 discusses the middleware for MEC and applications such as social implementation in nursing care facilities. Chapter 4 focuses on the roles of MEC, such as anonymization, data collection, and selection, and describes the technologies for utilizing MEC in the construction of smart cities. Chapter 5 discusses the realization of Robot Audition, one of the most promising applications expected to run on MEC. It introduces an attempt to implement HARK, a widely used platform, on MEC. Chapter 6 presents a new FPGA device, SLMLET, which is more cost-effective and power-efficient than conventional FPGAs and features communication links for multi-node systems. It is an ambitious chip equipped with variable-structure IP, differing from traditional FPGAs.The readers will gain an understanding of MEC and related topics, as well as insight into its future potential. This knowledge is essential for engineers involved in cloud and edge computing, as well as those interested in FPGA and CAD technologies. This book aims to clarify how to build the computational infrastructure for multi-access edge computing (MEC) from the perspectives of applications, system software, architecture, CAD, and devices. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Ajouter au panierEtat : New. PRINT ON DEMAND.
Langue: anglais
Edité par Springer, Springer Nov 2025, 2025
ISBN 10 : 9819689341 ISBN 13 : 9789819689347
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book aims to clarify how to build the computational infrastructure for multi-access edge computing (MEC) from the perspectives of applications, system software, architecture, CAD, and devices. MEC enables the execution of processing tasks that are challenging for IoT devices without having to rely on the cloud, by equipping 5G/6G base stations with computational resources.Following the introduction, Chapter 2 describes the multi-FPGA system that was developed for this project with various techniques to build FPGA clusters. Chapter 3 discusses the middleware for MEC and applications such as social implementation in nursing care facilities. Chapter 4 focuses on the roles of MEC, such as anonymization, data collection, and selection, and describes the technologies for utilizing MEC in the construction of smart cities. Chapter 5 discusses the realization of Robot Audition, one of the most promising applications expected to run on MEC. It introduces an attempt to implement HARK, a widely used platform, on MEC. Chapter 6 presents a new FPGA device, SLMLET, which is more cost-effective and power-efficient than conventional FPGAs and features communication links for multi-node systems. It is an ambitious chip equipped with variable-structure IP, differing from traditional FPGAs.The readers will gain an understanding of MEC and related topics, as well as insight into its future potential. This knowledge is essential for engineers involved in cloud and edge computing, as well as those interested in FPGA and CAD technologies.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 172 pp. Englisch.
Langue: anglais
Edité par Springer Nature Switzerland AG, Cham, 2025
ISBN 10 : 9819689341 ISBN 13 : 9789819689347
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Ajouter au panierHardcover. Etat : new. Hardcover. This book aims to clarify how to build the computational infrastructure for multi-access edge computing (MEC) from the perspectives of applications, system software, architecture, CAD, and devices. MEC enables the execution of processing tasks that are challenging for IoT devices without having to rely on the cloud, by equipping 5G/6G base stations with computational resources. Following the introduction, Chapter 2 describes the multi-FPGA system that was developed for this project with various techniques to build FPGA clusters. Chapter 3 discusses the middleware for MEC and applications such as social implementation in nursing care facilities. Chapter 4 focuses on the roles of MEC, such as anonymization, data collection, and selection, and describes the technologies for utilizing MEC in the construction of smart cities. Chapter 5 discusses the realization of Robot Audition, one of the most promising applications expected to run on MEC. It introduces an attempt to implement HARK, a widely used platform, on MEC. Chapter 6 presents a new FPGA device, SLMLET, which is more cost-effective and power-efficient than conventional FPGAs and features communication links for multi-node systems. It is an ambitious chip equipped with variable-structure IP, differing from traditional FPGAs.The readers will gain an understanding of MEC and related topics, as well as insight into its future potential. This knowledge is essential for engineers involved in cloud and edge computing, as well as those interested in FPGA and CAD technologies. This book aims to clarify how to build the computational infrastructure for multi-access edge computing (MEC) from the perspectives of applications, system software, architecture, CAD, and devices. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.